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Level Ai Jobs (NOW HIRING)

Aptive

AI/ML Architect

$65.25 - $84/hr

Primary Responsibilities Design, establish, and maintain enterprise-level AI/ML product management pipelines that support the full model lifecycle - from data ingestion and experimentation through ...

SWITS DIGITAL Private Limited

AI Software Engineer

... level AI-driven coding solutions. Roles & Responsibilites: * Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript ...

Apex Systems

AI Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Contribute to the development and enhancement of an enterprise-level AI platform. * Work with large language models (LLMs) and build proof-of-concept (POC) applications. * Apply data engineering ...

Lululemon

Principal AI/ML Applied Scientist

Seattle, WA · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Core responsibilities As a Principal Applied AI/ML Scientist, you define and drive the solutions for enterprise-level AI/ML use-cases, influencing multiple solutions across one or more business ...

Vurvey Labs

AI Software/ Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Translate high-level AI strategies and model prototypes into robust, production-grade microservices and libraries. • Build Pipelines: Design and implement efficient data ingestion and processing ...

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Level Ai information

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$11K

$86.7K

$113K

How much do level ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for level ai in the United States is $86,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a Level AI engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What are the key skills and qualifications needed to thrive as a Level AI engineer?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

Do entry-level artificial intelligence jobs exist?

Yes, entry-level artificial intelligence jobs are available and typically require foundational skills in programming, data analysis, and machine learning. These roles often include titles like AI analyst, junior data scientist, or machine learning engineer and may require familiarity with tools such as Python, TensorFlow, or scikit-learn.

What cities are hiring for Level Ai jobs?

Cities with the most Level Ai job openings:

What states have the most Level Ai jobs?

States with the most job openings for Level Ai jobs include:

What job categories do people searching Level Ai jobs look for?

The top searched job categories for Level Ai jobs are:

Level Ai jobs near you
Infographic showing various Level Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $86,666 per year, or $41.7 per hour.

AI Architect / AI Engineer / ML Architect

Omega Solutions, Inc.

San Carlos, CA • On-site

$76 - $100.25/hr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Omega Solutions, Inc. is seeking an AI Architect / AI Engineer / ML Architect to define and drive their AI strategy and roadmap. The role involves educating teams on AI capabilities, designing AI architectures, and collaborating with stakeholders to create AI-driven solutions.
Responsibilities:
• Define and drive the organization's AI strategy and roadmap aligned with business goals
• Educate leadership and cross-functional teams on AI capabilities, use cases, and best practices
• Identify high-impact AI/ML use cases across departments
• Provide guidance on responsible AI, governance, and compliance, especially in Public Sector settings
• Collaborate with stakeholders to translate business needs into AI-driven solutions
• Design high-level AI/ML architectures and solution frameworks
• Evaluate and recommend tools, platforms, and frameworks (e.g., cloud AI services)
• Guide teams on data readiness, model lifecycle, and deployment strategies
• Ensure scalability, security, and performance of AI solutions
• Stay updated with the latest trends in Generative AI, LLMs, and AI platforms
Qualifications:
Required:
• 8+ years of experience in AI/ML, Data Science, or Solution Architecture
• Proven experience as an AI Architect / AI Consultant / ML Architect
• Strong understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.)
• Experience with cloud platforms (AWS, Azure, or GCP AI services)
• Ability to communicate complex AI concepts to non-technical stakeholders
• Experience in defining AI strategy and roadmaps
Preferred:
• Experience working with Public Sector / Government clients
• Exposure to Generative AI / LLMs (e.g., GPT, RAG architectures)
• Knowledge of AI governance, ethics, and compliance frameworks
• Prior experience in advisory or consulting roles
Company:
Omega was incorporated in 2007 in the State of California to offer high end IT Solutions ranging from IT Software and product development to technology deployment and specialize in providing software solutions to diverse business sectors in USA and World-wide. Founded in 2007, the company is headquartered in Santa Clara, USA, with a team of 11-50 employees. The company is currently Early Stage.

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